Chaima Dahri - Data Scientist Intern

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Stuttgart, Germany

Experience

Apr 2024 - Sep 2024

6 months

Reutlingen, Germany

Data Scientist Intern

Marelli Automotive Lighting

Developed and deployed a deep learning model for automated keypoint detection in headlamp light distributions.
Prepared and processed datasets, and selected VGG16 after benchmarking CNN architectures for the best accuracy efficiency trade-off.
Delivered a Flask REST API, containerized with Docker, and integrated the solution into an existing internal system, enabling automated and efficient evaluation of headlamp designs.

Sep 2023 - Dec 2023

4 months

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Knowledge-Based Recommendation System for Project Risk Management

Developed a graph-based recommendation system for project risk identification, achieving 90% accuracy in risk prediction.
Leveraged Python, NLP, and Graph Neural Networks to model project relationships and enhance predictive accuracy.
Applied machine learning techniques for classification and utilized Apache Spark for handling large datasets.

Jun 2023 - Aug 2023

3 months

Tunis, Tunisia

Data Scientist Intern

Adeekt

Designed and deployed a customer relations chatbot using GPT-3.5 via the OpenAI API, enabling natural interactions and reducing repetitive queries.
Integrated Redis for low-latency, real-time data handling to ensure smooth live user experiences.
Containerized the solution with Docker, enabling scalable and environment-independent deployment across production systems.

Nov 2022 - Mar 2023

5 months

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Be Secure

Engineered an automated detection system for phishing email attacks, achieving 91% accuracy and reducing phishing attempts.
Utilized Python and Scikit-learn for machine learning algorithms and incorporated NLP for email content analysis.
Developed the system with Django for web application functionality, Docker for containerization, and MongoDB for secure data storage.

Jun 2022 - Sep 2022

4 months

Mahdia, Tunisia

Data Science & Full-Stack Development Intern

Vitalait

Developed a full-stack supply chain management application using Symfony 5 and MySQL, covering production tracking, processing, distribution, inventory, and quality control.
Improved production planning by adding an ARIMA forecasting model that used historical and seasonal demand patterns, resulting in 15% more accurate demand predictions.
Applied Agile methodologies, improving project completion speed through iterative development, sprint planning, and regular feedback.

Feb 2022 - Apr 2022

3 months

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Yoga Pose Detection

Developed a Convolutional Neural Network (CNN) model to classify yoga poses, achieving 95% accuracy.
Leveraged Computer Vision, PyTorch, OpenCV2, TensorFlow, and Keras for building a robust and efficient image classification system.
Applied advanced deep learning techniques to autonomously detect and classify various yoga poses from images.

Nov 2021 - Jan 2022

3 months

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Chronic Kidney Disease Detection (CKD)

Developed a predictive model to expedite the diagnostic timeline for CKD, achieving 96% accuracy in early-stage detection.
Utilized Python and applied various machine learning algorithms including KNN, SVM, AdaBoost, Logistic Regression, and XGBoost.
Focused on data-driven healthcare solutions to enhance early detection and improve medical decision-making.

Summary

Data Scientist and Machine Learning Engineer with expertise in machine learning, deep learning, and natural language processing. Experienced in developing and deploying AI solutions, with international academic and professional experience.

Skills

Programming & Data Science — Python, R, Sql, C++, Java, Flask, Machine Learning, Deep Learning, Nlp, Llm
Frameworks & Tools — Tensorflow, Pytorch, Scikit-learn, Pandas, Numpy, Matplotlib, Opencv2, Docker, Apache Spark, Mysql, Mongodb, Redis, Oracle Db, Git, Microsoft Office
Soft Skills — Teamwork, Problem Solving, Agile Project Management